Built with AI. Engineered for production. AI can create software faster than ever — production systems still need architecture, security, testing, observability, resilience, performance, and operational ownership.
Request a Production Readiness ReviewAI can create software faster than ever, and that's a genuine advantage — not something we push back on. But a prototype that got you to a working demo in a weekend isn't the same thing as a system a business can depend on. We take AI-generated or rapidly prototyped software and put it through the same engineering discipline any production system needs: an honest architecture and codebase review, a security and dependency review, a real test strategy, observability, and a plan for who operates it after launch. The goal isn't to rewrite what the AI got right — it's to close the specific gaps between "it works on my machine" and "it runs safely in production," and then take ownership of it from there.
Assess the architecture, codebase, and dependencies for what will and won't hold up in production.
Close the security, testing, and observability gaps the review finds.
Set up CI/CD, infrastructure, secrets, and backups the system doesn't yet have.
Roll out to production with a real deployment and rollback plan.
Keep operating and evolving the system, or hand it off with full documentation.
Our software products and services conform to the highest quality standards.
We never compromise our beliefs, values, and principles in challenging situations. We do what is right, not what is easy.
Using agile methodologies, we increase development speed and build a better relationship with our clients — adapting quickly to change.
No — the goal is to keep what's working and fix what isn't, not throw away a working starting point.
That's normal for AI-generated or rapidly prototyped code. The review tells us exactly how much refactoring is actually needed versus assumed.
Yes — many engagements continue into ongoing operation under Dropp Tempo once the system is in production.
Yes — the review process is the same regardless of which tool or model produced the original code.